Tim Hartley, Vice President of Product and Marketing at SeeChange Technologies (an Arm company), presents the “Automated Neural Network Model Training: The Impact on Deploying and Scaling ML at the Edge” tutorial at the May 2021 Embedded Vision Summit. Neural networks are being used to solve an ever-increasing number of use cases, elevating the importance […]
Dr. Lyndon Fawcett, Principal Software Security Architect at Arm, presents the “IoT and Vision: Why It’s a Security Minefield and How to Navigate It” tutorial at the May 2021 Embedded Vision Summit. Recent advancements in machine learning have enabled market innovators to build insights from IoT sensors in the wild. These insights can be used
Partha Maji, Principal Research Scientist at Arm’s Machine Learning Research Lab, presents the “Robust Object Detection Under Dataset Shifts” tutorial at the May 2021 Embedded Vision Summit. In image classification tasks, the evaluation of models’ robustness to increased dataset shifts with a probabilistic framework is very well studied. However, object detection (OD) tasks pose other
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Henry Sang, Director of Business Development at LAON PEOPLE, presents the “Using LAON PEOPLE’s AI Machine Vision Tools to Develop Manufacturing Inspection Solutions” tutorial at the May 2021 Embedded Vision Summit. Detecting defects in parts and products is a common need in manufacturing. Sang shows how to use LAON PEOPLE’s AI machine vision tools to
Sakyasingha Dasgupta, the founder and CEO of EdgeCortix, presents the “Dynamic Neural Accelerator and MERA Compiler for Low-latency and Energy-efficient Inference at the Edge” tutorial at the May 2021 Embedded Vision Summit. Achieving high performance and power efficiency for machine learning inference at the edge requires maintaining high chip utilization, even with a batch size
Eugene Mezhibovsky, Senior Systems Architect at Coherent Logix, presents the “Using hxGraph and OpenCV to Implement Industrial Inspection Applications on the HyperX Processor” tutorial at the May 2021 Embedded Vision Summit. hxGraph is a high-level tool that enables users to develop computer vision applications using the OpenCV APIs and then target the application to run
Marc Courtemanche, Atlas Product Architect at Algolux, presents the “How to Optimize a Camera ISP with Atlas to Automatically Improve Computer Vision Accuracy” tutorial at the May 2021 Embedded Vision Summit. Computer vision (CV) works on images pre-processed by a camera’s image signal processor (ISP). For the ISP to provide subjectively “good” image quality (IQ),
Chetan Khona, Director of the Industrial, Vision, Healthcare and Science Markets at Xilinx, presents the “New Adaptive Module for Vision AI at the Edge” tutorial at the May 2021 Embedded Vision Summit. Xilinx Kria System-on-Modules (SOMs) provide a secure, production-ready multi-core Arm and FPGA platform, including memories, power management, and Yocto or Ubuntu Linux to
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Jamie Campbell, Product Marketing Manager for Embedded Vision IP at Synopsys, presents the “Case Study: Facial Detection and Recognition for Always-On Applications” tutorial at the May 2021 Embedded Vision Summit. Although there are many applications for low-power facial recognition in edge devices, perhaps the most challenging to design are always-on, battery-powered systems that use facial
Patrick Worfolk, Senior Vice President and CTO of Synaptics, presents the “Enabling Visual AI at the Edge: From Surveillance Cameras to People Counters” tutorial at the May 2021 Embedded Vision Summit. New AI-at-the-edge processors with improved efficiencies and flexibility are unleashing a huge opportunity to democratize computer vision broadly across all markets, enabling edge AI
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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